Lead AI and Data Solution Engineer

Role Description

U.S. Financial Technology (U.S. FinTech) is seeking an experienced Lead AI and Data Solution Engineer to drive the development, integration, and deployment of advanced AI, data engineering, and cloud-based solutions. This is a full-time remote opportunity.

• Lead the design, development, and deployment of enterprise-scale data and AI solutions, ensuring alignment with business objectives and technical best practices.
• Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support.
• Design and deploy AI solutions using leading frameworks such as LangChain, LangGraph, and n8n for scalable agent orchestration, workflow automation, and integration with business systems.
• Develop, integrate, and manage Model Context Protocol (MCP)-based solutions to enhance model interpretability, context management, and deployment at scale.
• Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines for structured and unstructured data.
• Partner with cross-functional teams, including other technology, business, risk, legal, and compliance stakeholders, to deliver integrated solutions.
• Stay current with emerging technologies and industry trends in AI, data engineering, and cloud computing, driving continuous improvement and innovation.
• Ensure all solutions meet regulatory, security, and compliance requirements relevant to the financial services industry.
• Provide technical leadership and mentorship to junior team members.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 8+ years of experience in data engineering, AI solution development, or related roles.
• Proven expertise in large language models (LLMs), agentic AI systems, and Model Context Protocol (MCP).
• Good working experience developing and integrating AI solutions using AWS Bedrock, including prompt engineering, RAG, and enterprise application integration.
• Hands-on experience building AI applications using Python frameworks such as LangChain, LlamaIndex, FastAPI, and AWS/OpenAI SDKs.
• Strong experience with Snowflake and AWS services (Glue, S3, Lambda, SageMaker, etc.).
• Experience in the financial services or mortgage industry is preferred.
• Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future.

Requirements

• Deep understanding of AI/ML frameworks, data pipelines, and cloud-native architectures.
• Hands-on experience with LLM deployment, fine-tuning, and integration.
• Advanced proficiency in Python programming with the ability to design, develop, test, and troubleshoot production-grade AI/ML applications and reusable frameworks.
• Proficiency in agentic AI design patterns and implementation.
• Expertise in Model Context Protocol (MCP) for context-aware model deployment and management.
• Strong knowledge of Snowflake, AWS, and advanced data modeling.
• Experience with data governance, security, and compliance best practices.
• Excellent communication, collaboration, and presentation skills.
• Ability to translate complex technical concepts for non-technical stakeholders.

Benefits

• Pay Range: $200,000 to $215,000.
• Performance bonus.
• 401k match.
• Healthcare coverage.
• PTO.
• A broad range of other benefits.

Employment

As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.

U.S. Financial Technology is an Equal Opportunity Employer.